AI in Leadership
Event Name: AI in Leadership
Duration: 12 Weeks
Faculty Coordinators: Dr. Saumendra Mohanty
Event Timings: Saturdays, 10:00 AM – 1:00 PM
Number of Participants: 25
Venue: Lloyd Business school
PROGRAM SCHEDULE
- Overview of AI and Generative Technologies
- Key applications of Generative AI in academic settings
- Case studies on AI-enhanced learning environments
- Leveraging Microsoft Co-Pilot in Excel for academic data tasks
- Designing interactive, AI-enabled student assignments
- Real-time demonstrations and hands-on exercises
- Introduction to Python integration in Excel
- Developing AI-powered tools for classroom use
- Creating simulations, models, and automated solutions for teaching
- Understanding AIʼs impact on various industries
- Bridging academic content with industry transformation trends
- Crafting curriculum and cases aligned with AI-driven business change
- Exploring AI career pathways and certification benefits
- IBM AI Certification: Overview, relevance, and how to enroll
- Building student and faculty roadmaps for AI competencies
AI in Leadership
Large Language Models (LLMs)
A comprehensive 12-week certificate program titled “AI in Leadership” was launched to equip leaders, managers, and decision-makers with practical knowledge on how Artificial Intelligence is transforming leadership roles in modern organizations.
The program was initiated after a structured need analysis conducted by Mr. Gurmeet Singh, followed by discussions with the Group Director to align the program with organizational leadership development goals.
Program Objective
- The core aim of the program was to help leaders:
- Understand how AI supports strategic decision-making
- Integrate AI tools into leadership practice
- Improve business forecasting and analysis using AI Strengthen data-driven leadership capabilities
Program Structure
The course followed an applied and interactive format including:
- Weekly online live sessions
- Hands-on demonstrations using real data
- Leadership case studies involving AI applications
- Assignments and discussions to strengthen learning
Key Learning Topics
Participants engaged with:
- AI fundamentals and leadership relevance
- Machine learning insights for decision-making
- Data interpretation for strategic planning
- AI ethics, responsibility, and governance
Outcomes
At the end of the 12 weeks, participants:
- Gained confidence in applying AI in leadership decisions
- Learned practical frameworks for AI adoption in business
- Understood how analytics improves leadership judgment
- Built capability to lead AI-enabled teams and processes
Participant Feedback
The participants appreciated:
- The depth and structure of the program
- Industry-relevant concepts
- Real examples and practical explanations
- Accessible teaching style by Dr. Saumendra Mohanty
